Product
Super Mega Mind
Upload a customer list and see who your customers actually are, without exposing a single record.
The problem
A customer list says who bought, and very little about who they are. The consumer data that could describe them is usually sold per record, and every record that lands in a spreadsheet is a privacy liability.
What I built
- A free profile of any customer list against about 265M US consumer records and 307 attributes, returned as percentages and index scores against a national baseline.
- Match keys are SHA-256 hashed in memory as the file streams in, and the raw values are discarded before anything is written. The database has no table for uploaded records.
- Sensitive attributes such as income, credit, and ethnicity never render on a public report.
- A REST API and an MCP server on the same implementation, so agencies can check synthetic audiences against real data from their own tools.
The interesting decision
The value comes before the paywall
The first build asked anyone with more than 500 rows to pay before seeing anything. I rebuilt it so every upload is free, a random 500-row sample is profiled, and the $49 upgrade is offered on the finished report.
Want something like this?
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